EFFICIENT E-MAIL PHISHING DETECTION USING MACHINE LEARNING
Keywords:
E-MAIL, PHISHING DETECTION, MACHINE LEARNINGAbstract
Phishing attacks continue to be a significant cybersecurity threat, exploiting human vulnerabilities to steal sensitive information. Traditional rule-based email filtering methods struggle to adapt to evolving phishing techniques. This study proposes an efficient email phishing detection system utilizing machine learning (ML) algorithms to enhance accuracy and adaptability.
References
Dhamija, R., Tygar, J. D., & Hearst, M. (2006). Why phishing works. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 581–590.
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Published
2024-09-10
How to Cite
R.Sreedhar,H.Swetha Deepika, Perumandla Sushma , N.Sanjana , K.Pranuthi kavya. (2024). EFFICIENT E-MAIL PHISHING DETECTION USING MACHINE LEARNING. Journal of Computational Analysis and Applications (JoCAAA), 33(05), 1184–1191. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/1874
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